DQ assessment - Expert Podcast

Na webu je dispozici k přehrátí i ke stažení přednáška na téma:"Data quality assessment helps identify, fix data quality problems"
Přednášející: Arkady Maydanchik, Data Quality Group co-founder
Poprve živě předneseno: 26. 6. 2008.
Sponzorem je firma "Informatica"
Jde o 20-ti minutovou přednášku, nabízenou takto:
K významu tématu přednášky:
"Data quality is still an emerging field, one often overlooked by companies and organizations. To help understand how to start a data quality program, SearchDataManagement.com caught up with Arkady Maydanchik, a member of the Data Quality Group and author of the recent book Data Quality Assessment."
Souhrnně k obsahu:
"In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment."
V detailu k obsahu:
"In this 20-minute podcast, appropriate for both business and IT professionals, listeners will:
- Find out how to get a handle on your data quality needs through a data quality assessment
- Learn why data quality rules are crucial to the outcome of any data quality project
- Learn how to ensure your data quality assessment is comprehensive and complete
- Get a lesson on data quality scorecards and how to design and use them
- Find out how to improve metadata quality with a data quality metadata warehouse-
- And get Maydanchik's take on the data quality tools and technologies currently on the market."
Adresa k přehrátí i ke stažení souboru MP3 - Podcastu: ZDE-ZDE
Pro případ potíží s dostupností uvedeného zdroje, jsem připravil kopii souboru ke stažení na TÉTO adrese.
Více o technologii Podcastu se můžete dozvědět v TOMTO mém odborném weblogu.

Data Quality Assessment - Practical Skills

Co říká o významu Data Quality jeden ze špičkových odborníků a author knihy "Data Quality Assessment book" Arkady Maydanchik:
"Data quality management is one of the fastest growing areas of information technology. According to the experts the cost of poor data quality can reach as high as 15 to 25% of operating profit. Corporations are losing millions of dollars due to inaccurate data. Yet data quality profession is still in its infancy and few experts offer comprehensive methodology and practical solutions to the problem."
Portál "Data Quality Group" nabízí řadu kurzů zaměřených na Data Quality.
Pohled do podrobného programu jednoho z kurzů může být velmi poučný pro upřesnění představy o nové disciplině.
Název kurzu je: "Data Quality Assessment - Practical Skills".
Komu je kurz určen: Data quality practitioners - those in the trenches who are responsible to manage, maintain, and deliver high-quality data and to continuously improve the quality of data.
Co se naučíte:
- The what, why, when, and how of data quality assessment.
- How to identify and use data quality rules.
- How to ensure completeness of data quality assessment.
- How to construct and use a data quality scorecard.
- How to collect, manage, maintain, warehouse and use data quality metadata.
Souhrn obsahu kurzu:
"More and more companies initiate data quality programs and form data stewardship groups everyyear. The starting point for any such program must be data quality assessment. Yet in absence of a comprehensive methodology, measuring data quality remains an elusive concept. It proves to be easier to produce hundreds or thousands of data error reports than to make any sense of them.This course gives comprehensive treatment to the process and practical challenges of data quality assessment. It starts with systematic treatment of various data quality rules and proceeds to the results analysis and building aggregated data quality scorecard. Special attention is paid to the architecture and functionality of the data quality metadata warehouse."
Základní osnova kurzu:
1. Introduction to Data Quality Assessment
2. Using Data Quality Rules for Data Quality Assessment
3. Ensuring Comprehensive Assessment
4. Constructing Data Quality Scorecard
5. Building Data Quality Metadata Warehouse
Podrobný program kurzu najdete na TÉTO adrese.

Five Keys to Data Quality

Portál DMReview.com nabízí zajímavý článek s užitečným obsahem.
Autorem je Vicki P. Raeburn. Název: "Five Keys to Data Quality", podtitulek "Solving for Quality".
Z úvodu článku:
"There is a significant human element to the overall quality of your data. For example, a wide range of people may be entering data about entities. Salespeople may enter identity and transaction data about leads and customers, customer service people may enter information about new individuals within customer companies as well as transaction data, and order entry people may enter customer identity information. Similarly, people throughout the enterprise may modify, update and enhance data for sales, marketing, customer service and billing needs. All this disparate data - created by many people over different time periods - can be aggregated and partially cleaned programmatically, but maintaining high quality data over time will require implementing the five keys to data quality."
5 pravidel:
Number 1: Establish data standards and definitions
Number 2: Create repeatable processes for data collection, enhancement and maintenance
Number 3: Monitor performance at multiple points in the transformation process. Data quality
Number 4: Implement continuous process improvements
Number 5: Hold people accountable
Závěr článku:
"The behaviors of people involved in data management and quality enhancement programs are at least as important, and may be more important, to data quality than the software choices that you make. Use these five keys to help you organize the people processes."
Plný text článku najdete na TÉTO adrese.

DM & Information Quality Conference Europe 2008

Data Management & Information Quality Conference Europe 2008. Opravdový svátek pro všechny fandy TIQM se chystá na podzim t.r. Konkrétně to bude 3-6 listopadu 2008, Victoria Park Plaza, Hotel, London UK.
Brožurku obsahující vše důležité a zajímavé, si můžete stáhnout na TÉTO adrese.